Python Regression

Open-source Python projects categorized as Regression
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Topics: #Python #Machine Learning #Classification #Data Science #Deep Learning
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Top 16 Python Regression Projects

  • orange

    🍊 :bar_chart: :bulb: Orange: Interactive data analysis

    Project mention: Book or web book recommendation request: a data visualization cookbook using Python for scientists. | reddit.com/r/Python | 2023-02-22

    Have you tried Orange? https://orangedatamining.com/ This is not a direct answer to your question but Orange has Python based stuff for data mining and visualization. It is very intuitive as for being a graphical interface.

  • lazypredict

    Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

    Project mention: [D] Looking for github package testing many decision tree models - it exists but I can't find it in my browser history | reddit.com/r/MachineLearning | 2023-01-10

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • orbit

    A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)

  • MLBox

    MLBox is a powerful Automated Machine Learning python library.

  • AlphaPy

    Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

    Project mention: Monte Carlo Simulator feature request. | reddit.com/r/TradingView | 2023-01-26

  • imbalanced-regression

    [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

  • Machine-Learning

    Implementation of different ML Algorithms from scratch, written in Python 3.x (by Gautam-J)

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • Regressio

    A python library for univariate regression, interpolation, and smoothing.

    Project mention: GitHub - brendanartley/Regressio: A python library for univariate regression, interpolation, and smoothing. | reddit.com/r/Python | 2022-08-30

  • auton-survival

    Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

    Project mention: [D] ‘auton-survival’ package for deep survival analysis and time to event regression from CMU. | reddit.com/r/MachineLearning | 2022-04-23

    Paper] github

  • deep-kernel-transfer

    Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

    Project mention: What approach to take predicting a simple data stream? | reddit.com/r/neuralnetworks | 2022-10-03

    Interesting approach to small datasets. Here is an implementation I'll look at: https://github.com/BayesWatch/deep-kernel-transfer

  • mozregression

    Regression range finder for Mozilla nightly builds

    Project mention: Firefox Font Rendering Looks Awful | reddit.com/r/firefox | 2023-03-27

  • gmr

    Gaussian Mixture Regression

    Project mention: Conducting Regression on a Multimodal Distributed Dependent Variable | reddit.com/r/datascience | 2022-04-19

    I have attempted Gaussian Mixtures and also tried this the following library which was promising (https://github.com/AlexanderFabisch/gmr). The challenge was interpreting results given the clusters.

  • tmu

    Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

    Project mention: [R] New Tsetlin machine learning scheme creates up to 80x smaller logical rules, benefitting hardware efficiency and interpretability. | reddit.com/r/MachineLearning | 2023-01-21

    Code: https://github.com/cair/tmu

  • Gumbi

    Gaussian Process Model Building Interface

  • Genome

    Genome Network Ala Neural Network (by DanShai)

  • ols_regression

    OLS regression with possibility of controlling for fixed effects and robust standard errors

    Project mention: OLS regression on Python with Fixed effects and robust std. errors | reddit.com/r/econometrics | 2022-10-14

    Here the link: https://github.com/calosor/ols_regression

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-03-27.

Python Regression related posts

Index

What are some of the best open-source Regression projects in Python? This list will help you:

Project Stars
1 orange 4,011
2 lazypredict 1,936
3 orbit 1,615
4 MLBox 1,403
5 AlphaPy 887
6 imbalanced-regression 594
7 Machine-Learning 396
8 Regressio 323
9 auton-survival 225
10 deep-kernel-transfer 173
11 mozregression 159
12 gmr 123
13 tmu 83
14 Gumbi 43
15 Genome 1
16 ols_regression 0

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